Prevalence of SARS-CoV-2 among workers returning to Bihar gives snapshot of COVID across India

Malani, Anup; Mohanan, Manoj; Kumar, Chanchal; Kramer, Jake; Tandel, Vaidehi

doi:10.1101/2020.06.26.20138545

Cited by 11 publications

(10 citation statements)

References 7 publications

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“…First, the release of the lockdown imposed in March was immediately followed by a large migration of daily laborers who lost their sources of income in urban centers and returned home to rural parts of the country. Results from testing large samples of workers to Bihar (a state that received over 2 million returning workers) in May 2020 showed that large share of workers arriving from parts of the country where the epidemic was raging tested positive on RT-PCR 5 . A second contributing factor was that, while urban areas experienced severe lockdowns, rural areas experienced fewer restrictions on mobility (Figure 5) because agricultural activity was deemed an essential sector.…”

Section: Methodsmentioning

confidence: 99%

Prevalence Of COVID-19 In Rural Versus Urban Areas in a Low-Income Country: Findings from a State-Wide Study in Karnataka, India

Mohanan

Malani

Krishnan³

et al. 2020

Preprint

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Although the vast majority of confirmed cases of COVID-19 are in low- and middle-income countries, there are relatively few published studies on the epidemiology of SARS-CoV-2 in these countries. The few there are focus on disease prevalence in urban areas. We conducted state-wide surveillance for COVID-19, in both rural and urban areas of Karnataka between June 15-August 29, 2020. We tested for both viral RNA and antibodies targeting the receptor binding domain (RBD). Adjusted seroprevalence across Karnataka was 46.7% (95% CI: 43.3-50.0), including 44.1% (95% CI: 40.0-48.2) in rural and 53.8% (95% CI: 48.4-59.2) in urban areas. The proportion of those testing positive on RT-PCR, ranged from 1.5 to 7.7% in rural areas and 4.0 to 10.5% in urban areas, suggesting a rapidly growing epidemic. The relatively high prevalence in rural areas is consistent with the higher level of mobility measured in rural areas, perhaps because of agricultural activity. Overall seroprevalence in the state implies that by August at least 31.5 million residents had been infected by August, nearly an order of magnitude larger than confirmed cases.

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Section: Methodsmentioning

confidence: 99%

Prevalence Of COVID-19 In Rural Versus Urban Areas in a Low-Income Country: Findings from a State-Wide Study in Karnataka, India

Mohanan

Malani

Krishnan³

et al. 2020

Preprint

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“…Studies reported SARS-CoV-2 prevalence in populations resides in high-risk accommodations such as migrant workers, refugee camps and homeless shelters ranging between 11.7 and 88%. 3–6 We estimated the prevalence of SARS-CoV2 infection and seroprevalence (anti-SARS-CoV-2 antibodies, IgM and IgG) among asymptomatic migrant supermarket workers.…”

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confidence: 99%

Seroprevalence of SARS-CoV-2 in migrant workers in Kuwait

Alali

Bastaki

Longenecker

et al. 2020

Journal of Travel Medicine

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“…The sudden lockdown left them out of work, short of wages, and desperate to return home ( 41 ). They may even have worse outcomes than slum residents on average ( 42 ) because they self-selected to leave slums. With transportation options shut down, the return journey was arduous for many ( 43 ).…”

Section: Discussionmentioning

confidence: 99%

Representative Estimates of COVID-19 Infection Fatality Rates from Three Locations in India

Cai

Novosad

Tandel³

et al. 2021

Preprint

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There are very few estimates of the age-specific infection fatality rate (IFR) of SARS-CoV-2 in low- and middle-income countries. India reports the second highest number of SARS-CoV-2 infections in the world. We estimate age-specific IFR using data from seroprevalence surveys in Mumbai (population 12 million) and Karnataka (population 61 million), and a random sample of economically distressed migrants in Bihar with mortality followup. Among men aged 50–89, IFR is 0.12% in Karnataka (95% C.I. 0.09%–0.15%), 0.53% in Mumbai (0.52%–0.54%), and 5.64% among migrants in Bihar (0–11.16%). IFR in India is approximately twice as high for men as for women, is heterogeneous across contexts, and rises much less at older ages than in comparable studies from high income countries.

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Prevalence of SARS-CoV-2 among workers returning to Bihar gives snapshot of COVID across India

Cited by 11 publications

References 7 publications

Prevalence Of COVID-19 In Rural Versus Urban Areas in a Low-Income Country: Findings from a State-Wide Study in Karnataka, India

Prevalence Of COVID-19 In Rural Versus Urban Areas in a Low-Income Country: Findings from a State-Wide Study in Karnataka, India

Seroprevalence of SARS-CoV-2 in migrant workers in Kuwait

Representative Estimates of COVID-19 Infection Fatality Rates from Three Locations in India

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